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Business And Data Analyst Jobs in Riverside, CA (NOW HIRING)

CorVel Career Site

Data Analyst III

Irvine, CA · Hybrid

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Works closely with internal customers such as DBAs, Data Scientists, and other business ...

Corvel

Data Analyst III

Irvine, CA · Hybrid

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Works closely with internal customers such as DBAs, Data Scientists, and other business ...

Yami

Senior Business Analyst

Brea, CA · On-site

$95K - $123K/yr

Proactively analyze retail, e-commerce platform,and user data to generate insights that drive business growth, platformoptimization, and improvements in user experience and engagement.Collaborate ...

CYNET SYSTEMS

Associate Business Analyst

Irvine, CA · On-site

$28 - $33/hr

Ability to troubleshoot data, process, and transaction issues in a fast-paced environment ... analysis and reporting. * Understanding of EDI concepts, standards, and business document flows ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Identify trends, patterns, and correlations in complex datasets to support business initiatives ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75 - $115/hr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk‑aware ...

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Showing results 21-40

All JobsBusiness And Data Analyst JobsBusiness And Data Analyst Jobs in Riverside, CA

Business And Data Analyst information

See Riverside, CA salary details

$20

$47

$77

How much do business and data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for business and data analyst in Riverside, CA is $47.42, according to ZipRecruiter salary data. Most workers in this role earn between $36.63 and $55.67 per hour, depending on experience, location, and employer.

What is a business and data analyst?

Business and Data Analysts are professionals who use data analysis and business insights to help organizations make informed decisions. They collect, process, and interpret data to identify trends, solve problems, and optimize business processes. While Business Analysts focus on understanding business needs and recommending solutions, Data Analysts specialize in analyzing data sets to extract actionable insights. Both roles often work together to support strategic planning and operational improvements. Their combined expertise is vital for driving business growth and efficiency in today's data-driven environment.

How does a business and data analyst typically collaborate with other departments within an organization?

Business and Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and IT. They gather requirements, interpret data needs, and translate findings into actionable insights for various stakeholders. Effective communication and the ability to present data-driven recommendations in a clear, concise manner are essential, as analysts often bridge the gap between technical data and business strategy. This collaborative environment not only broadens their understanding of the organization's operations but also provides opportunities for professional growth and influence.

What are the key skills and qualifications needed to thrive as a business and data analyst, and why are they important?

To thrive as a Business and Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree in business, statistics, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and business intelligence platforms, as well as certifications such as CBAP or data analytics credentials, is highly valued. Exceptional communication, problem-solving, and stakeholder management skills help analysts translate complex data into actionable business insights. These skills ensure accurate data-driven decision-making and effective collaboration across departments for organizational success.

What is the difference between Business And Data Analyst vs Data Scientist?

AspectBusiness And Data AnalystData Scientist
Required SkillsData analysis, reporting, business intelligence tools, SQLStatistical modeling, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, analytics departments, reporting toolsData modeling, algorithm development, research
CertificationsCertified Business Intelligence Professional, SQL certificationsCertified Data Scientist, Python/R certifications
Industry UsageBusiness analysis, finance, marketing, operationsTech, research, AI development, data-driven innovation

Business And Data Analysts focus on interpreting data to support business decisions using reporting and BI tools. Data Scientists develop complex models and algorithms to extract insights from large datasets. While both roles require analytical skills and some overlapping certifications, Data Scientists typically have stronger programming and statistical expertise, working more on predictive modeling and research. Business And Data Analysts are more involved in translating data into actionable business insights for various departments.

What are popular job titles related to Business And Data Analyst jobs in Riverside, CA?

For Business And Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Business And Data Analyst jobs in Riverside, CA look for?

The top searched job categories for Business And Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Business And Data Analyst jobs?

Cities near Riverside, CA with the most Business And Data Analyst job openings:

Business And Data Analyst jobs near you
Infographic showing various Business And Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $98,627 per year, or $47.4 per hour.

Business System Analyst / Technical BA/Data Analyst

Compunnel

Irvine, CA • On-site

Contractor

Posted 15 days ago

Job description

Job Summary
We are seeking a Business Systems Analyst / Technical Business Analyst / Data Analyst with strong hands-on SQL coding experience and a solid background working with data platforms, analytics, and AI-enabled solutions. This role focuses on translating business strategy into actionable requirements and roadmaps while supporting data quality, governance, metadata, lineage, data modeling, and AI/ML initiatives. The ideal candidate will bridge business and technical teams and use data-driven insights to support scalable and reliable solutions.
Key Responsibilities
• Translate business strategy into clear product roadmaps, prioritizing data and AI capabilities that deliver measurable business and user impact.
• Perform hands-on SQL coding, data analysis, and data profiling to support business and technical requirements.
• Lead the design and operationalization of solutions focused on data quality, metadata management, governance, lineage, taxonomy, and AI readiness.
• Support AI readiness initiatives involving feature stores, training data quality, and model inputs.
• Manage the end-to-end product development lifecycle for data and AI-enabled capabilities.
• Partner closely with Data Science and Engineering teams to support AI/ML use cases, including advanced analytics, personalization, predictive modeling, and intelligent automation.
• Gather, analyze, document, and translate business requirements into clear functional and technical requirements.
• Develop a strong understanding of upstream and downstream systems to help define data models, APIs, integrations, and AI consumption patterns.
• Build strong partnerships with business and technology stakeholders and establish continuous feedback loops to improve solution value and adoption.
• Support product lifecycle management, adoption, migration, and user enablement activities.
• Drive product discovery, requirements definition, and feature prioritization using Agile and modern product management practices.
• Use qualitative and quantitative methods to define, measure, and continuously improve product and solution performance.
• Analyze complex and potentially conflicting requirements and translate them into clear execution plans.
• Collaborate with stakeholders across business functions and geographies to communicate priorities, roadmaps, dependencies, and expected outcomes.
• Support the delivery of reliable, scalable, governed, and trustworthy data and AI solutions.
Required Qualifications
• 5+ years of experience in Product Management, Data Management, Business Systems Analysis, Technical Business Analysis, Data Analysis, or a related field.
• Strong hands-on SQL coding experience with the ability to perform data analysis and profiling.
• Experience working extensively on the data side with data platforms, data models, analytics, and related technologies.
• Experience launching, supporting, or scaling data platforms and/or AI-enabled products.
• Experience with data quality, metadata management, data governance, lineage, and taxonomy.
• Experience working with data platforms and analytics ecosystems, including data warehouses and data lakes.
• Understanding of AI/ML ecosystems, including feature stores, model pipelines, training data, and MLOps concepts.
• Experience managing or supporting B2B or B2B2C data and AI products throughout the product lifecycle.
• Ability to translate business requirements into actionable functional and technical requirements.
• Strong ability to prioritize and communicate roadmaps across diverse business and technical stakeholders.
• Experience using qualitative and quantitative methods to measure and improve product success.
• Excellent written and verbal communication skills with the ability to collaborate with senior leaders, engineers, data scientists, and business stakeholders.
• Bachelor's degree or equivalent relevant experience.
Preferred Qualifications
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Experience using Python for data analysis.
• Experience with data visualization and analytics tools.
• Experience within Financial Services, Asset Management, or another highly regulated industry.
• Experience supporting advanced analytics, predictive modeling, personalization, or intelligent automation initiatives.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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